2 gtm engineer jobs found
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Requirements
Must-haves
- 3+ years of professional experience
- Experience with GTM engineering and RevOps
- Experience with building workflows with LLMs (e.g., Claude, ChatGPT, Gemini)
- Familiarity with Salesforce, including the data model, with experience integrating with or automating within the CRM
- Experience connecting systems via APIs and working with data integration concepts (e.g., REST APIs, webhooks, OAuth, rate limiting, error handling)
- Experience with workflow automation platforms (e.g., Zapier, n8n, Clay) combined with hands-on coding ability
- Experience building systems from scratch rather than only optimizing what's already connected
- Experience instrumenting funnels, wiring up data pipelines, and shipping automations with whatever tool gets the fastest result
- Ability to ship a working prototype quickly and iterate
- Ability to take on ambiguous technical problems and figure out the right tech stack independently
- Ability to think like an owner, questioning whether the right problems are being solved in the right way
- Strong communication skills in both spoken and written English
Nice-to-haves
- Startup experience, particularly building foundational systems from scratch in a high-growth environment
- Experience with data warehouses (e.g. Snowflake, Databricks, BigQuery)
- Formal background in software engineering, data engineering, or a technical IC role
- Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
- Build and ship the technical infrastructure behind the growth motion, acting as execution and build partner to the Growth Marketing team, who own the GTM strategy and prioritization, by turning that strategy into production-grade systems
- Write code, wire up integrations, and automate the GTM stack
- Build and ship automations directly with Claude Code, automating manual GTM processes (e.g. research, outbound sequencing, event-driven workflows) using tools like Zapier and n8n, and productize prototypes for team-wide use
- Build enrichment infrastructure, including ICP segmentation and scoring and signal-to-action workflows that turn raw data into sales-ready intelligence
- Design and build multi-channel prospecting pipelines from scratch, including A/B testing, automated lead enrichment and scoring, response-detection routing, and deliverability infrastructure (e.g. SPF, DKIM, DMARC, domain warmup, bounce handling)
- Own the technical build for ABM and paid media, connecting audience targeting (e.g. LinkedIn, Google), managing suppression and match-rate workflows, and building testing and bidding automation
- Build the technical infrastructure for AI-driven demand generation, tightening how content surfaces across AI search and the web and how capture, routing, and speed-to-lead convert inbound demand
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